---
library_name: peft
license: apache-2.0
base_model: princeton-nlp/Sheared-LLaMA-1.3B
tags:
- axolotl
- generated_from_trainer
model-index:
- name: f5007068-224b-49a6-8aff-b438e87bf3ef
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

[<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
<details><summary>See axolotl config</summary>

axolotl version: `0.4.1`
```yaml
adapter: lora
base_model: princeton-nlp/Sheared-LLaMA-1.3B
bf16: true
chat_template: llama3
dataset_prepared_path: null
datasets:
- data_files:
  - cffeb2068f28cc6e_train_data.json
  ds_type: json
  format: custom
  path: /workspace/input_data/cffeb2068f28cc6e_train_data.json
  type:
    field_input: main_domain
    field_instruction: title
    field_output: description
    format: '{instruction} {input}'
    no_input_format: '{instruction}'
    system_format: '{system}'
    system_prompt: ''
debug: null
deepspeed: null
early_stopping_patience: null
eval_max_new_tokens: 128
eval_table_size: null
evals_per_epoch: 2
flash_attention: true
fp16: null
fsdp: null
fsdp_config: null
gradient_accumulation_steps: 8
gradient_checkpointing: false
max_grad_norm: 1
group_by_length: false
hub_model_id: error577/f5007068-224b-49a6-8aff-b438e87bf3ef
hub_repo: null
hub_strategy: checkpoint
hub_token: null
learning_rate: 0.00001
load_in_4bit: false
load_in_8bit: false
local_rank: null
logging_steps: 1
lora_alpha: 16
lora_dropout: 0.05
lora_fan_in_fan_out: null
lora_model_dir: null
lora_r: 8
lora_target_linear: true
lr_scheduler: cosine
max_steps: 500
micro_batch_size: 1
mlflow_experiment_name: /tmp/cffeb2068f28cc6e_train_data.json
model_type: AutoModelForCausalLM
num_epochs: 8
optimizer: adamw_bnb_8bit
output_dir: miner_id_24
pad_to_sequence_len: true
resume_from_checkpoint: null
s2_attention: null
sample_packing: false
saves_per_epoch: 1
sequence_len: 512
special_tokens:
  pad_token: </s>
strict: false
tf32: true
tokenizer_type: AutoTokenizer
train_on_inputs: false
trust_remote_code: true
val_set_size: 0.05
wandb_entity: null
wandb_mode: online
wandb_name: d6d65c6a-7a9e-4819-9e86-a9ea4b9f10c7
wandb_project: Gradients-On-Demand
wandb_run: your_name
wandb_runid: d6d65c6a-7a9e-4819-9e86-a9ea4b9f10c7
warmup_steps: 10
weight_decay: 0.01
xformers_attention: null

```

</details><br>

# f5007068-224b-49a6-8aff-b438e87bf3ef

This model is a fine-tuned version of [princeton-nlp/Sheared-LLaMA-1.3B](https://huggingface.co/princeton-nlp/Sheared-LLaMA-1.3B) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1622

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 10
- training_steps: 500

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.8795        | 0.0017 | 1    | 2.4177          |
| 2.5273        | 0.0543 | 32   | 2.3960          |
| 1.8541        | 0.1086 | 64   | 2.3317          |
| 3.499         | 0.1630 | 96   | 2.2805          |
| 2.2621        | 0.2173 | 128  | 2.2462          |
| 2.0988        | 0.2716 | 160  | 2.2218          |
| 1.7164        | 0.3259 | 192  | 2.2037          |
| 2.3432        | 0.3802 | 224  | 2.1891          |
| 2.4035        | 0.4345 | 256  | 2.1792          |
| 2.6015        | 0.4889 | 288  | 2.1726          |
| 3.2448        | 0.5432 | 320  | 2.1681          |
| 2.1421        | 0.5975 | 352  | 2.1657          |
| 1.9935        | 0.6518 | 384  | 2.1643          |
| 2.3433        | 0.7061 | 416  | 2.1633          |
| 1.7778        | 0.7604 | 448  | 2.1628          |
| 2.2321        | 0.8148 | 480  | 2.1622          |


### Framework versions

- PEFT 0.13.2
- Transformers 4.46.0
- Pytorch 2.5.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1